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Improving robustness and accuracy of predicted daily methane emissions of dairy cows using milk mid-infrared spectra.

Amélie VanlierdeFrédéric DeharengNicolas GenglerEric FroidmontSinead McParlandMichael KreuzerMatthew BellPeter LundCécile MartinBjörn KuhlaHélène Soyeurt
Published in: Journal of the science of food and agriculture (2020)
The models developed accounted for more of the observed variability in CH4 emissions than previously developed models and thus were considered more robust. This approach is suitable for large-scale studies (e.g. animal genetic evaluation) where robustness is paramount for accurate predictions across a range of animal conditions. © 2020 Society of Chemical Industry.
Keyphrases
  • dairy cows
  • municipal solid waste
  • physical activity
  • high resolution
  • genome wide
  • life cycle
  • density functional theory
  • copy number
  • risk assessment
  • mass spectrometry